Renjing Xu
24 papers · 2023–2026 · 9 venues · across top CS/AI venues
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Deep Learning
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spiking neural network
(6)
diffusion model
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reinforcement learning
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image generation
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energy efficiency
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3d reconstruction
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model compression
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humanoid control
(2)
artificial neural network
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neural radiance field
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ann-to-snn conversion
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policy gradient
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object recognition
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temporal dynamics
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vision-language navigation
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policy optimization
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knowledge distillation
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online learning
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representation learning
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Papers
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
CVPR 2026
FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control
AAAI 2026
Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills
AAAI 2026
Iterative Closed-Loop Motion Synthesis for Scaling the Capabilities of Humanoid Control
CVPR 2026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
AAAI 2026
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
AAAI 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation
ACL 2025
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
CVPR 2025
Optimal Brain Apoptosis
ICLR 2025
Simple Policy Optimization
ICML 2025
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
NeurIPS 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
ICLR 2024
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
ICML 2024
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
ICLR 2024
PFGS: High Fidelity Point Cloud Rendering via Feature Splatting
ECCV 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
ACL 2024
Spiking Denoising Diffusion Probabilistic Models
WACV 2024
Spiking Neural Network as Adaptive Event Stream Slicer
NeurIPS 2024
Spiking Wavelet Transformer
ECCV 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models
ECCV 2024
Masked Spiking Transformer
ICCV 2023